Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Texas

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Lowest Birth Rate | In Labor Force
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Texas
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Texas

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Texas Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Texas

Zip Code Births / 1,000 Women vs State vs National
1. 78733 1.0 50.0 (-49.0)#1 48.0 (-47.0)#4
2. 78236 2.0 50.0 (-48.0)#2 48.0 (-46.0)#21
3. 78676 3.0 50.0 (-47.0)#3 48.0 (-45.0)#41
4. 78101 3.0 50.0 (-47.0)#4 48.0 (-45.0)#57
5. 75691 3.0 50.0 (-47.0)#5 48.0 (-45.0)#72
6. 75750 3.0 50.0 (-47.0)#6 48.0 (-45.0)#78
7. 75567 4.0 50.0 (-46.0)#7 48.0 (-44.0)#139
8. 75572 4.0 50.0 (-46.0)#8 48.0 (-44.0)#146
9. 78705 5.0 50.0 (-45.0)#9 48.0 (-43.0)#168
10. 76201 5.0 50.0 (-45.0)#10 48.0 (-43.0)#169
11. 76266 5.0 50.0 (-45.0)#11 48.0 (-43.0)#172
12. 77378 5.0 50.0 (-45.0)#12 48.0 (-43.0)#174
13. 79901 5.0 50.0 (-45.0)#13 48.0 (-43.0)#184
14. 75692 5.0 50.0 (-45.0)#14 48.0 (-43.0)#199
15. 79252 5.0 50.0 (-45.0)#15 48.0 (-43.0)#213
16. 75568 5.0 50.0 (-45.0)#16 48.0 (-43.0)#217
17. 78015 6.0 50.0 (-44.0)#17 48.0 (-42.0)#240
18. 75495 6.0 50.0 (-44.0)#18 48.0 (-42.0)#253
19. 75939 6.0 50.0 (-44.0)#19 48.0 (-42.0)#263
20. 76527 6.0 50.0 (-44.0)#20 48.0 (-42.0)#267
21. 76524 6.0 50.0 (-44.0)#21 48.0 (-42.0)#268
22. 77335 6.0 50.0 (-44.0)#22 48.0 (-42.0)#277
23. 77504 7.0 50.0 (-43.0)#23 48.0 (-41.0)#317
24. 78336 7.0 50.0 (-43.0)#24 48.0 (-41.0)#328
25. 75152 7.0 50.0 (-43.0)#25 48.0 (-41.0)#351
26. 79356 7.0 50.0 (-43.0)#26 48.0 (-41.0)#353
27. 78234 7.0 50.0 (-43.0)#27 48.0 (-41.0)#356
28. 79521 7.0 50.0 (-43.0)#28 48.0 (-41.0)#372
29. 78123 7.0 50.0 (-43.0)#29 48.0 (-41.0)#382
30. 77027 8.0 50.0 (-42.0)#30 48.0 (-40.0)#415
31. 78657 8.0 50.0 (-42.0)#31 48.0 (-40.0)#455
32. 79081 8.0 50.0 (-42.0)#32 48.0 (-40.0)#500
33. 75936 8.0 50.0 (-42.0)#33 48.0 (-40.0)#535
34. 79401 9.0 50.0 (-41.0)#34 48.0 (-39.0)#584
35. 76060 9.0 50.0 (-41.0)#35 48.0 (-39.0)#587
36. 75473 9.0 50.0 (-41.0)#36 48.0 (-39.0)#612
37. 77071 10.0 50.0 (-40.0)#37 48.0 (-38.0)#680
38. 77011 10.0 50.0 (-40.0)#38 48.0 (-38.0)#694
39. 77098 10.0 50.0 (-40.0)#39 48.0 (-38.0)#698
40. 76088 10.0 50.0 (-40.0)#40 48.0 (-38.0)#704
41. 75645 10.0 50.0 (-40.0)#41 48.0 (-38.0)#717
42. 76258 10.0 50.0 (-40.0)#42 48.0 (-38.0)#736
43. 79121 10.0 50.0 (-40.0)#43 48.0 (-38.0)#747
44. 77879 10.0 50.0 (-40.0)#44 48.0 (-38.0)#757
45. 76853 10.0 50.0 (-40.0)#45 48.0 (-38.0)#796
46. 78141 10.0 50.0 (-40.0)#46 48.0 (-38.0)#818
47. 78212 11.0 50.0 (-39.0)#47 48.0 (-37.0)#834
48. 79316 11.0 50.0 (-39.0)#48 48.0 (-37.0)#868
49. 75076 11.0 50.0 (-39.0)#49 48.0 (-37.0)#875
50. 75765 11.0 50.0 (-39.0)#50 48.0 (-37.0)#878
51. 79830 11.0 50.0 (-39.0)#51 48.0 (-37.0)#879
52. 79406 11.0 50.0 (-39.0)#52 48.0 (-37.0)#880
53. 76043 11.0 50.0 (-39.0)#53 48.0 (-37.0)#883
54. 78390 11.0 50.0 (-39.0)#54 48.0 (-37.0)#898
55. 76093 11.0 50.0 (-39.0)#55 48.0 (-37.0)#931
56. 77534 11.0 50.0 (-39.0)#56 48.0 (-37.0)#932
57. 78586 12.0 50.0 (-38.0)#57 48.0 (-36.0)#993
58. 75082 12.0 50.0 (-38.0)#58 48.0 (-36.0)#1,001
59. 75022 12.0 50.0 (-38.0)#59 48.0 (-36.0)#1,004
60. 76148 12.0 50.0 (-38.0)#60 48.0 (-36.0)#1,005
61. 77019 12.0 50.0 (-38.0)#61 48.0 (-36.0)#1,008
62. 76022 12.0 50.0 (-38.0)#62 48.0 (-36.0)#1,025
63. 76426 12.0 50.0 (-38.0)#63 48.0 (-36.0)#1,037
64. 75114 12.0 50.0 (-38.0)#64 48.0 (-36.0)#1,065
65. 76066 12.0 50.0 (-38.0)#65 48.0 (-36.0)#1,085
66. 75490 12.0 50.0 (-38.0)#66 48.0 (-36.0)#1,107
67. 79343 12.0 50.0 (-38.0)#67 48.0 (-36.0)#1,132
68. 76034 13.0 50.0 (-37.0)#68 48.0 (-35.0)#1,171
69. 77306 13.0 50.0 (-37.0)#69 48.0 (-35.0)#1,197
70. 75103 13.0 50.0 (-37.0)#70 48.0 (-35.0)#1,198
71. 76643 13.0 50.0 (-37.0)#71 48.0 (-35.0)#1,200
72. 78611 13.0 50.0 (-37.0)#72 48.0 (-35.0)#1,206
73. 75686 13.0 50.0 (-37.0)#73 48.0 (-35.0)#1,208
74. 76059 13.0 50.0 (-37.0)#74 48.0 (-35.0)#1,254
75. 76431 13.0 50.0 (-37.0)#75 48.0 (-35.0)#1,265
76. 79379 13.0 50.0 (-37.0)#76 48.0 (-35.0)#1,335
77. 79034 13.0 50.0 (-37.0)#77 48.0 (-35.0)#1,342
78. 77441 14.0 50.0 (-36.0)#78 48.0 (-34.0)#1,359
79. 75116 14.0 50.0 (-36.0)#79 48.0 (-34.0)#1,371
80. 75670 14.0 50.0 (-36.0)#80 48.0 (-34.0)#1,376
81. 79007 14.0 50.0 (-36.0)#81 48.0 (-34.0)#1,387
82. 79124 14.0 50.0 (-36.0)#82 48.0 (-34.0)#1,393
83. 76571 14.0 50.0 (-36.0)#83 48.0 (-34.0)#1,401
84. 77843 14.0 50.0 (-36.0)#84 48.0 (-34.0)#1,416
85. 77565 14.0 50.0 (-36.0)#85 48.0 (-34.0)#1,422
86. 75554 14.0 50.0 (-36.0)#86 48.0 (-34.0)#1,476
87. 76511 14.0 50.0 (-36.0)#87 48.0 (-34.0)#1,477
88. 76636 14.0 50.0 (-36.0)#88 48.0 (-34.0)#1,492
89. 75006 15.0 50.0 (-35.0)#89 48.0 (-33.0)#1,533
90. 77381 15.0 50.0 (-35.0)#90 48.0 (-33.0)#1,543
91. 76302 15.0 50.0 (-35.0)#91 48.0 (-33.0)#1,586
92. 78003 15.0 50.0 (-35.0)#92 48.0 (-33.0)#1,599
93. 76311 15.0 50.0 (-35.0)#93 48.0 (-33.0)#1,618
94. 75948 15.0 50.0 (-35.0)#94 48.0 (-33.0)#1,630
95. 75946 15.0 50.0 (-35.0)#95 48.0 (-33.0)#1,637
96. 77830 15.0 50.0 (-35.0)#96 48.0 (-33.0)#1,659
97. 76271 15.0 50.0 (-35.0)#97 48.0 (-33.0)#1,681
98. 76453 15.0 50.0 (-35.0)#98 48.0 (-33.0)#1,694
99. 76379 15.0 50.0 (-35.0)#99 48.0 (-33.0)#1,715
100. 78703 16.0 50.0 (-34.0)#100 48.0 (-32.0)#1,757

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Texas?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Texas are:
#1
1.0
#2
2.0
#3
3.0
#4
3.0
#5
3.0
#6
3.0
#7
4.0
#8
4.0
#9
5.0
#10
5.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Texas?
78733 has the Lowest Births per 1,000 Women in Labor Force in Texas with 1.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Texas?
Number Births per 1,000 Women in Labor Force in Texas is 50.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.